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Integration and testing of a three-axis accelerometer in a woven e-textile sleeve for wearable movement monitoring

Integration and testing of a three-axis accelerometer in a woven e-textile sleeve for wearable movement monitoring
Integration and testing of a three-axis accelerometer in a woven e-textile sleeve for wearable movement monitoring
This paper presents a method to integrate and package an accelerometer within a textile to create an electronic textile (e-textile). The smallest commercially available accelerometer sensor (2 mm x 2 mm x 0.95 mm) is used in the e-textile and is fully integrated within the weave structure of the fabric itself rendering it invisible to the wearer. The e-textile forms the basis of a wearable woven sleeve which is applied to arm and knee joint bending angle measurement. Flexibility, unobtrusiveness and comfort are the key advantages of the realized integrated e-textile sensor. The integrated e-textile based accelerometer sensor system is used to identify activity type, such as walking or running, and count the total number of steps taken. Performance was verified by comparing measurements of specific elbow joint angles over the range of 0° to 180° with those obtained from a commercial bending sensor from Bend Labs and from a custom-built goniometer. The joint bending angles, measured by all 3 sensors, show good agreement with an error of less than ~1% of reading which provides a high degree of confidence in the e-textile sensor system. Subsequently, knee joint angles were measured experimentally on 3 subjects with each being tested 3 times on each of 3 activities (walking, running, climbing stairs). This allowed the minimum and maximum knee joint angles for each activity to be determined. This data is then used to identify activity type and perform step counting.
1424-8220
1-15
Li, Menglong
dd640ccf-9d10-4fc1-a91b-9110af99e905
Torah, Russel
7147b47b-db01-4124-95dc-90d6a9842688
Nunes Matos, Helga
d57bf886-addc-4f55-ad10-3a947248aea8
Wei, Yang
8f7387a5-6d75-4032-a645-473a7f18dce5
Beeby, Stephen
ba565001-2812-4300-89f1-fe5a437ecb0d
Tudor, Michael
46eea408-2246-4aa0-8b44-86169ed601ff
Yang, Kai
f1c9b81d-e821-47eb-a69e-b3bc419de9c7
Li, Menglong
dd640ccf-9d10-4fc1-a91b-9110af99e905
Torah, Russel
7147b47b-db01-4124-95dc-90d6a9842688
Nunes Matos, Helga
d57bf886-addc-4f55-ad10-3a947248aea8
Wei, Yang
8f7387a5-6d75-4032-a645-473a7f18dce5
Beeby, Stephen
ba565001-2812-4300-89f1-fe5a437ecb0d
Tudor, Michael
46eea408-2246-4aa0-8b44-86169ed601ff
Yang, Kai
f1c9b81d-e821-47eb-a69e-b3bc419de9c7

Li, Menglong, Torah, Russel, Nunes Matos, Helga, Wei, Yang, Beeby, Stephen, Tudor, Michael and Yang, Kai (2020) Integration and testing of a three-axis accelerometer in a woven e-textile sleeve for wearable movement monitoring. Sensors, 20 (18), 1-15, [5033]. (doi:10.3390/s20185033).

Record type: Article

Abstract

This paper presents a method to integrate and package an accelerometer within a textile to create an electronic textile (e-textile). The smallest commercially available accelerometer sensor (2 mm x 2 mm x 0.95 mm) is used in the e-textile and is fully integrated within the weave structure of the fabric itself rendering it invisible to the wearer. The e-textile forms the basis of a wearable woven sleeve which is applied to arm and knee joint bending angle measurement. Flexibility, unobtrusiveness and comfort are the key advantages of the realized integrated e-textile sensor. The integrated e-textile based accelerometer sensor system is used to identify activity type, such as walking or running, and count the total number of steps taken. Performance was verified by comparing measurements of specific elbow joint angles over the range of 0° to 180° with those obtained from a commercial bending sensor from Bend Labs and from a custom-built goniometer. The joint bending angles, measured by all 3 sensors, show good agreement with an error of less than ~1% of reading which provides a high degree of confidence in the e-textile sensor system. Subsequently, knee joint angles were measured experimentally on 3 subjects with each being tested 3 times on each of 3 activities (walking, running, climbing stairs). This allowed the minimum and maximum knee joint angles for each activity to be determined. This data is then used to identify activity type and perform step counting.

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Submitted date: 2020
Accepted/In Press date: 3 September 2020
e-pub ahead of print date: 4 September 2020

Identifiers

Local EPrints ID: 443984
URI: http://eprints.soton.ac.uk/id/eprint/443984
ISSN: 1424-8220
PURE UUID: 37611cdf-fb59-4c97-9a17-d4e834186d3f
ORCID for Russel Torah: ORCID iD orcid.org/0000-0002-5598-2860
ORCID for Stephen Beeby: ORCID iD orcid.org/0000-0002-0800-1759

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Date deposited: 18 Sep 2020 16:36
Last modified: 07 Oct 2020 04:06

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